Principal, Transportation Risk Management, Global Road Safety

Key job responsibilities

Own the global transportation risk strategy, identifying systemic risks and developing mitigation roadmaps that balance operational velocity with safety outcomes.

Serve as the enterprise SME for human factors and fatigue risk management, establishing standards, policies, and intervention frameworks grounded in scientific evidence.

Design, implement, and continuously improve Safety Management Systems (SMS) aligned with industry best practices (e.g., ICAO SMS, ISO 39001, ANSI Z10).

Leverage AI/ML and advanced data analytics to identify emerging risk patterns, predict incidents, and optimize resource allocation for risk reduction.

Develop and scale both programmatic solutions (policies, training, behavioral programs) and technical solutions (technology interventions, engineering controls) across global operations.

Build and maintain risk quantification models to measure residual risk, program effectiveness, and return on safety investment.

Influence VP+ leadership through data-driven narratives, white papers, and risk briefings that drive resource allocation and strategic decision-making.

Partner cross-functionally with Operations, Engineering, Legal, and Public Policy to embed risk management principles into new program launches and fleet expansion.

Basic Qualifications

10+ years of risk management, audit, legal, compliance, operations, or a similar discipline experience.

Experience with specific knowledge of human resource theory, functions and practice, performance appraisal systems and staff development.

Experience in using statistical analysis to identify issues or opportunities for improvement.

Experience influencing at all levels within an organization, particularly at the executive level.

Bachelor's degree in Safety Science, Risk Management, or Engineering.

Preferred Qualifications

Master's degree or PhD in Human Factors, Safety Science, Risk Management, or a related discipline.

Hands-on experience applying AI/ML tools to safety or risk problems (e.g., predictive analytics, NLP for incident analysis, computer vision).

Certification in SMS (e.g., SMS Pro, ICAO SMS) or risk management (e.g., ISO 31000, ARM, CRMA).

Experience in fleet safety, last-mile delivery, or heavy vehicle transportation environments.

Familiarity with regulatory frameworks across multiple jurisdictions (DOT, DVSA, EU Mobility Package, NHVR).

Published research or thought leadership in transportation risk, fatigue science, or human factors.

Experience building and leading cross-functional programs in a high-growth, ambiguous environment.